ApexSniper v2 (Swing Optimized)More long term than the original Apex sniper, BETTER FOR SMALLER ACCOUNT SIZES. Scales more long term. trades take 4-8 days, but percent gained is way more.
อินดิเคเตอร์และกลยุทธ์
ApexSniper2.0I have Tested this Indicator Manually for about 2 months now and its been amazing.Ive been working with pine code for a really long time now, took me about 6 months to build this script, hopefully it works well for you.very good for trading. will help you out a lot
ApexSniperI have Tested this Indicator Manually for about 2 months now and its been amazing.Ive been working with pine code for a really long time now, took me about 6 months to build this script, hopefully it works well for you.very good for trading. will help you out a lot
ApexSignalsIve been working with pine code for a really long time now, took me about 6 months to build this script, hopefully it works well for you.very good for trading. will help you out a lot
Cybertrading-Insidebar hunter pro robotThe Cybertrading-Inside Pro strategy is an advanced version of Cyber-Inside.
It automates ATR-based inside-bar trading with optional pullback entries, full risk/reward visualization, time filtering, pending-order handling, and fixed chart watermark branding (“CollegePips / CyberTrading”).
⚙️ Technical Overview
1. Core Structure
Uses ATR(14) to measure volatility and classify candle ranges.
Candles are labeled as Spinning, Standard, Long, or Huge based on their range vs. ATR.
Only valid candles (Standard or Long) qualify to confirm a setup.
2. Inside-Bar Logic
The setup requires the current candle’s high/low to be fully contained inside the previous candle (an inside bar).
A wick-break must occur — the wick slightly breaks the previous inside bar’s range while the body remains inside.
This pattern forms a Pierce-Only signal.
Direction:
Wick down → potential Long entry
Wick up → potential Short entry
3. Timing and Entry Conditions
With the time filter enabled, trades trigger only between defined hours (e.g., 07–22).
If Enable Pullback is on, the entry is placed using a limit order offset by pullbackATR × ATR from the signal candle.
If the pullback entry isn’t triggered within pullbackMaxBars, the pending order is canceled automatically.
You can also enable display-only entries without execution (Enable Entry Without Pullback).
4. Risk & Target Management
Stop loss is placed beyond the second-previous candle’s high/low ± stopBuffer × ATR.
Take-profit is based on the chosen risk/reward multiple (RR) or the previous candle’s high/low.
Position size auto-adjusts to keep total risk equal to riskPercent of equity.
5. Visual Components
Dynamic chart objects include:
Red box: risk zone (entry → stop)
Green/blue box: reward zone (entry → target)
Dotted diagonal line: risk-to-reward path
Arrows: actual fill points
6. Order Management System
Each signal creates a unique order ID (pendingId) and exit ID (planExitId).
On a valid fill (newLong / newShort), real stop, target, and position size are applied.
If an order isn’t filled within the timeout window, it’s canceled and reset automatically.
7. Advantages
✅ Smart inside-bar pattern recognition
✅ Automated risk control and dynamic sizing
✅ Clear visual feedback for analysis
✅ Fully backtest-ready for research or education
CyberTrading-Inside Hunt RobotThis Pine Script strategy, titled "Cyber-Inside", is a fully automated entry and risk management system built around inside bar pierce patterns and ATR-based dynamic stops/targets. It identifies specific candle formations, calculates position sizing based on risk percentage, and visually displays risk/reward zones and trade labels on the chart.
Detailed Explanation
1. Core Logic
The script searches for inside bars — candles whose high and low are contained within the previous bar — that appear after a valid “normal” or “long” range candle.
Then it waits for a wick pierce (a candle that breaks the previous inside bar's range slightly but closes inside).
That wick pierce acts as a potential reversal or continuation signal:
wickDown → possible long entry
wickUp → possible short entry
2. ATR-based Classification
Each candle is compared to the ATR(24):
Spinning (small) → below 0.8 × ATR
Standard → between 0.8× and 1.2× ATR
Long → between 1.2× and 2.5× ATR
Huge → above 2.5× ATR
Only certain candle types (standard or long) in the previous bars qualify for pattern validation.
3. Entry Conditions
A trade signal occurs when:
The current bar forms a wick pierce of a prior inside bar pattern.
No active position exists (strategy.position_size == 0).
Then:
For longs, entry at close, stop at previous low minus ATR buffer.
For shorts, entry at close, stop at previous high plus ATR buffer.
4. Risk Management
The stop distance defines the risk per trade, and the position size is adjusted dynamically so that only the chosen riskPercent (e.g., 1%) of equity is at risk.
If useRR is enabled, a take-profit target is placed using the defined risk/reward multiple (rr, e.g. 1:3).
If disabled, the target defaults to the previous candle’s high or low.
5. Visualization
The strategy visually marks:
Entry points (triangles)
Red box = risk zone (entry → stop)
Green box = reward zone (entry → target)
Optional diagonal and horizontal lines for clarity
Labels updated after trade closes with PnL values (profit or loss)
6. Application
This system helps traders:
Automate inside-bar breakout or reversal entries
Maintain strict risk-based position sizing
Visually assess trade zones and risk/reward areas
Backtest and evaluate performance consistency on various timeframes and assets
BankNifty Etharia Aggresive Buyer / SellerOverview
Professional intraday trading strategy for BankNifty Futures that identifies high-probability setups by combining multiple technical indicators. Works in BOTH directions - LONG and SHORT.
Best Timeframe: 5-Minute Chart
Key Features:
✅ Multi-Confluence Entry System - All indicators must align for signal
✅ Bidirectional Trading - Captures both uptrends and downtrends
✅ Advanced Risk Management - Daily loss limits, consecutive loss protection
✅ Smart Exit System - Partial profit taking + trailing stops
✅ Session-Based Trading - Avoids opening and closing volatility
Entry Logic:
LONG Signals:
Price above Kernel Regression (trend confirmation)
Price above VWAP with positive slope (momentum)
Cumulative Volume Delta bullish (buying pressure)
Volume spike or increasing volume (strength confirmation)
Strong bullish candle with 60%+ body ratio
RSI filter to avoid overbought entries
SHORT Signals:
Price below Kernel Regression (downtrend confirmation)
Price below VWAP with negative slope (bearish momentum)
CVD bearish (selling pressure dominates)
High volume confirmation
Strong bearish candle pattern
RSI filter to avoid oversold entries
Exit Management:
🎯 Target 1: 1.5 R:R (50% position exit)
🎯 Target 2: 2.5 R:R (full exit)
🛡️ Stop Loss Options: ATR-based, Swing-based, or Fixed
🟡 Trailing Stop: Activates after 1.2 R:R, trails at 0.8 R:R
⏰ Time-Based Exit: Closes all positions 5 mins before session end
Risk Controls:
Maximum trades per day (default: 5)
Consecutive loss limit (default: 2)
Daily loss limit: 2.5% of capital
Daily profit target: 5% (stops trading when reached)
Position sizing based on account risk percentage
Recommended Settings:
Asset: BankNifty Futures (NSE:BANKNIFTY1!)
Timeframe: 5-minute
Initial Capital: ₹1,00,000
Risk per trade: 1%
Commission: 0.05%
Slippage: 5 points
Performance Expectations:
Win Rate: 55-65%
Profit Factor: 1.5-2.0
Average Trades/Day: 3-8
Risk:Reward: 1:1.8 average
Customizable Parameters:
Trading direction (Long Only / Short Only / Both)
Indicator lengths and thresholds
Stop loss type and targets
Risk management limits
Trading session hours
Best For:
Intraday traders seeking systematic, rule-based entries with strong confluence, proper risk management, and the ability to profit from both bullish and bearish market conditions.
RSI + BB strategyBollinger Bands 20/2.5 + RSI 20-day 25/75
Long = Enter a long position when the price breaks below the Bollinger Band, the candlestick closes, and the RSI is below 25.
Short = Enter a short position when the price breaks above the Bollinger Band, the candlestick closes, and the RSI is above 75.
Take profit = Default setting: Take profit when profit is +4%. For safety, sell half of the position when profit is +2% to break even.
Lower average: -5% loss. If the RSI is 20/80, use the lower average. Sell the remaining amount when the price returns to its original price.
Based on 5-minute and 15-minute charts
Otherwise, signals will be difficult to obtain. For charts longer than 1 hour, adjust RSI and BB appropriately.
Monthly First-Day Range Breakout (Long-Only)Monthly First-Day Range Breakout (Long-Only)
When the Close is above the first candle of the month - Long
Wait for the First Day Close
[Aegis]DCA grid Strategy for Crypto### **Crypto Market Long-Only Strategy (DCA with Risk Mitigation)**
This strategy is a Long-only approach, often using a Dollar-Cost Averaging (DCA) method for staggered entries. It is designed to mitigate the risk of being unable to exit a position for a prolonged period, which typically occurs when a series of initial DCA entries result in a losing trade.
The strategy has the following characteristics:
#### **1. Markets**
* Trade in highly liquid Perpetual Futures markets for cryptocurrencies.
#### **2. Position Sizing**
The initial entry quantity is determined by setting the **Initial Entry Ratio** in the input values.
* If the **Subsequent Entry Multiplier** is 1, the maximum position size upon final entry is determined by:
$$\text{Initial Entry Quantity} \times \text{Number of Entries}$$
* If the **Subsequent Entry Multiplier** is $x$, the maximum position size is determined by the following cumulative sum:
$$\text{1st Entry Quantity} + (\text{1st Entry Quantity} \times x) + (\text{2nd Entry Quantity} \times x) + \dots + ((\text{n-1)th Entry Quantity} \times x)$$
#### **3. Entries**
* The **1st Entry** is determined by the **Entry Sensitivity**. The first entry is automatically calculated based on an oversold condition; setting a higher sensitivity value will trigger the 1st entry in a more significant oversold situation.
* Entries from the **2nd Entry onwards** are made sequentially based on the generated **Grid Spacing**.
* The **Grid Spacing** is calculated as an equal interval:
$$\text{Grid Spacing} = \frac{\text{Final Entry Distance}}{(\text{Number of Entries} - 1)}$$
#### **4. Exits**
This strategy **does not distinguish between Stop-Loss and Take-Profit**. All entered quantities are liquidated simultaneously upon mean reversion. This transaction may result in either a loss or a profit. Generally:
* If the price recovery is rapid, the trade finishes with a profit.
* If the price recovery is slow, the trade finishes with a loss.
Therefore, the **'resilience' or 'recovery speed'** of the underlying asset significantly influences the long-term performance of the strategy.
크립토 시장에 특화된 Long only전략입니다. DCA 방식의 분할 매수 전략이 대체로 이익 거래가 아닌 경우, 장기간 탈출하지 못할 리스크를 보완한 전략입니다.
이 전략은 다음과 같은 특징을 가지고 있습니다.
##### 1. 시장 (Markets)
• 유동성이 풍부한 코인 무기한 선물 시장에서 거래한다.
##### 2. 포지션 크기 (Position Sizing)
인풋 값에 최초진입비율을 설정함으로써 1차 진입의 수량이 결정됩니다.
- 추가 진입배수가 1일 때, 최대 진입 시 포지션 크기는 "1차 진입수량 * 진입횟수"에 의해 결정됩니다.
- 추가 진입배수가 x일때,
1차진입물량 + (1차진입 물량 * x) + (2차진입 물량 * x) ..... + (n-1)차 진입물량 * x 의 방식으로 최대 진입 시 포지션 크기가 결정 됩니다
##### 3. 진입 (Entries)
- 1차 진입은 진입 둔감도에 의해 결정됩니다. 1차 진입은 과매도 상황을 자동적으로 계산하여 결정되며, 둔감도를 높은 값으로 설정하면 더 큰 과매도 상황에서 1차 진입이 결정됩니다.
- 2차 이후의 진입은 생성된 그리드 간격에 의해 순차적으로 진입하게 됩니다.
- 그리드 간격은 최종 진입 간격 / (진입 횟수 - 1) 으로 등간격으로 이루어집니다.
##### 4. 청산 (Exits)
이 전략은 손절과 익절을 구분하지 않습니다. 평균 회귀를 하는 경우 진입한 모든 물량을 일시에 청산하며, 이 거래는 손실 거래일 수도, 이익 거래일 수도 있습니다. 일반적으로, 가격 회복이 빠르게 되는 경우 이익 거래로 마무리되고, 가격 회복이 느린 경우 손실 거래로 마무리되기 때문에, 장기적으로 종목의 '회복탄력성'이 전략의 성과에 영향을 줄 수 있습니다.
[Aegis]Original Turtle System for CryptoAs Richard Dennis once said, "Even if I published all the Turtle rules in the newspaper right now, no one would be able to 'execute' them," and 40 years later, even in modern financial markets (like the crypto market) where all the conditions have been disclosed, this strategy continues to deliver amazing performance. The following outlines the original Turtle rules as disclosed by Curtis Faith in his book *Way of the Turtle*, and a TradingView algorithm that translates these rules for application in the crypto market.
---
### **The Original Turtle Trading Rules**
#### **1. Markets**
* Trade in liquid futures markets.
#### **2. Position Sizing**
The volatility measure, **N**, is used as the basis for all calculations.
**True Range (TR) Calculation:** Select the largest of the following three values:
* Current High - Current Low
* $|\text{Current High} - \text{Previous Close}|$ (Absolute Value)
* $|\text{Current Low} - \text{Previous Close}|$ (Absolute Value)
**N (Average True Range, ATR) Calculation:**
$$N = \frac{(19 \times \text{PDN} + \text{TR})}{20}$$
* **PDN:** Previous Day's N value
* **TR:** Current True Range
This is similar to a 20-day Exponential Moving Average, and is sometimes calculated using a Simple Moving Average.
**Unit Size Calculation:**
$$\text{Unit Size (Number of Contracts)} = \frac{1\% \text{ of Account Equity}}{(\text{N} \times \text{Dollars per Point})}$$
* **Dollars per Point (Tick Value):** The value of a 1-point change in price.
#### **3. Entries**
* **Entry:** Buy when the 55-day high is broken to the upside, and sell when the 55-day low is broken to the downside.
#### **5. Stops**
* The stop-loss for every unit is set at a price **2N** unfavorable from the entry price.
* For each additional unit added, the stop price for the **entire position** is adjusted favorably by **1/2 N**.
* In other words, the stop price of the last unit entered becomes the stop price for the entire position.
#### **6. Exits**
The exit rule for profitable positions (before a stop is hit) is as follows:
* **Long Positions:** Exit when the 20-day low is broken to the downside.
* **Short Positions:** Exit when the 20-day high is broken to the upside.
*Note: This exit rule is followed only if the price has moved up by a value greater than or equal to the N value multiplied by the criterion for changing the take-profit line (the original Korean text mentions a condition based on N, which is commonly interpreted as requiring a profit before applying the channel exit).*
리처드 데니스가 앞서 "내가 지금 당장 터틀의 모든 규칙을 신문에 공표한다고 해도 아무도 '실행'하지 못할 것"라고 말했듯 40년이 흘러 모든 조건이 공개된 현대 금융시장(크립토 시장)에서도 여전히 이 전략은 놀라운 퍼포먼스를 기록하고 있습니다. 아래는 커티스 페이스가 자신의 저서 '터틀의 방식'에 공개한 오리지널 터틀 규칙과 이를 알고리즘으로 변환하여 크립토마켓에 적용한 트레이딩뷰 알고리즘 입니다.
##### 1. 시장 (Markets)
• 유동성이 풍부한 선물 시장에서 거래한다.
##### 2. 포지션 크기 (Position Sizing)
변동성 측정 단위인 N을 모든 계산의 기초로 사용한다.
**True Range (TR) 계산:** 다음 세 가지 값 중 가장 큰 값을 선택한다.
- • 현재 고가 - 현재 저가
- • |현재 고가 - 전일 종가| (절대값)
- • |현재 저가 - 전일 종가| (절대값)
**N (Average True Range, ATR) 계산:**
N = (19 × PDN + TR) / 20
- • PDN: 이전 날의 N 값
- • TR: 현재 True Range
이는 20일 지수이동평균과 유사하며, 단순이동평균으로 계산하기도 한다.
**1 유닛(Unit)의 크기 계산:**
유닛 크기 (계약 수) = 계좌 자산의 1% / (N × 틱 가치)
• 틱 가치(Dollars per Point): 1포인트 변동 시의 가치
##### 3. 진입 (Entries)
- • 진입: 55일 고가를 상향 돌파하면 매수, 55일 저가를 하향 돌파하면 매도한다.
##### 5. 손절 (Stops)
- • 모든 유닛에 대한 손절 기준은 진입 가격으로부터 2N 만큼 불리한 가격에 설정한다.
- • 유닛이 추가될 때마다 전체 포지션의 손절 가격을 1/2 N 만큼 유리한 방향으로 상향 조정한다.
- • 즉, 마지막으로 진입한 유닛의 손절 가격이 전체 포지션의 손절 가격이 된다.
##### 6. 청산 (Exits)
손절에 도달하기 전 수익 중인 포지션의 청산 규칙은 다음과 같다.
- • 매수 포지션: 20일 저가를 하향 돌파할 때 청산한다.
- • 매도 포지션: 20일 고가를 상향 돌파할 때 청산한다.
단, N값에 익절선 변경 기준을 곱한 값 이상으로 가격이 상승할 경우, 위 규칙을 따른다.
Amiya's Doji / Hammer / Spinning Top Breakout Strategy v5How it works
1. Pattern Detection (Previous Candle):
• Checks if total shadow length ≥ 2 × body.
• Checks if candle height (high − low) is between 10 and 21.5 points.
• If true → marks that candle as a potential Doji, Hammer, or Spinning Top.
2. Long Setup:
• LTP (close) crosses above previous candle high.
• Previous candle is a valid pattern candle.
• Stop Loss = 3 points below previous candle low.
• Take Profit = 5 × (high − low) of previous candle added to previous high.
3. Short Setup:
• LTP (close) crosses below previous candle low.
• Previous candle is a valid pattern candle.
• Stop Loss = 3 points above previous candle high.
• Take Profit = 5 × (high − low) of previous candle subtracted from previous low.
4. Visualization:
• Yellow background highlights pattern candles.
• Green ▲ and Red ▼ markers show entry points.
Deep yellow candles → represent Doji / Hammer / Spinning Top patterns
• Green triangle → Buy signal
• Red triangle → Sell signal
• Dotted green line + label → Target
• Dotted red line + label → Stop loss
• Gray background → Outside trading hours
• Auto close → All trades square off at 3:29 PM IST
DayFlow VWAP Relay Forex Majors StrategySummary in one paragraph
DayFlow VWAP Relay is a day-trading strategy for major FX pairs on intraday timeframes, demonstrated on EURUSD 15 minutes. It waits for alignment between a daily anchored VWAP regime check, residual percentiles, and lower-timeframe micro flow before suggesting trades. The originality is the fusion of daily VWAP residual percentiles with a live micro-flow score from 1 minute data to switch between fade and breakout behavior inside the same session. Add it to a clean chart and use the markers and alerts.
Scope and intent
• Markets: Major FX pairs such as EURUSD, GBPUSD, USDJPY, AUDUSD, USDCHF, USDCAD
• Timeframes: One minute to one hour
• Default demo in this publication: EURUSD on 15 minutes
• Purpose: Reduce false starts by acting only when context, location and micro flow agree
• Limits: This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Core novelty: Residual percentiles to daily anchored VWAP decide “balanced versus expanding day”. A separate 1 minute micro-flow score confirms direction, so the same model fades extremes in balance and rides range breaks in expansion
• Failure modes addressed: Chop fakeouts and unconfirmed breakouts are filtered by the expansion gate and micro-flow threshold
• Testability: Every input is exposed. Bands, background regime color, and markers show why a suggestion appears
• Portable yardstick: Stops and targets are ATR multiples converted to ticks, which transfer across symbols
• Open source status: No reused third-party code that requires attribution
Method overview in plain language
The day is anchored with a VWAP that updates from the daily session start. Price minus VWAP is the residual. Percentiles of that residual measured over a rolling window define location extremes for the current day. A regime score compares residual volatility to price volatility. When expansion is low, the day is treated as balanced and the model fades residual extremes if 1 minute micro flow points back to VWAP. When expansion is high, the model trades breakouts outside the VWAP bands if slope and micro flow agree with the move.
Base measures
• Range basis: True Range smoothed by ATR for stops and targets, length 14
• Return basis: Not required for signals; residuals are absolute price distance to VWAP
Components
• Daily Anchor VWAP Bands. VWAP with standard-deviation bands. Slope sign is used for trend confirmation on breakouts
• Residual Percentiles. Rolling percentiles of close minus VWAP over Signal length. Identify location extremes inside the day
• Expansion Ratio. Standard deviation of residuals divided by standard deviation of price over Signal length. Classifies balanced versus expanding day
• Micro Flow. Net up minus down closes from 1 minute data across a short span, normalized to −1..+1. Confirms direction and avoids fades against pressure
• Session Window optional. Restricts trading to your configured hours to avoid thin periods
• Cooldown optional. Bars to wait after a position closes to prevent immediate re-entry
Fusion rule
Gating rather than weighting. First choose regime by Expansion Ratio versus the Expansion gate. Inside each regime all listed conditions must be true: location test plus micro-flow threshold plus session window plus cooldown. Breakouts also require VWAP slope alignment.
Signal rule
• Long suggestion on balanced day: residual at or below the lower percentile and micro flow positive above the gate while inside session and cooldown is satisfied
• Short suggestion on balanced day: residual at or above the upper percentile and micro flow negative below the gate while inside session and cooldown is satisfied
• Long suggestion on expanding day: close above the upper VWAP band, VWAP slope positive, micro flow positive, session and cooldown satisfied
• Short suggestion on expanding day: close below the lower VWAP band, VWAP slope negative, micro flow negative, session and cooldown satisfied
• Positions flip on opposite suggestions or exit by brackets
What you will see on the chart
• Markers on suggestion bars: L for long, S for short
• Exit occurs on reverse signal or when a bracket order is filled
• Reference lines: daily anchored VWAP with upper and lower bands
• Optional background: teal for balanced day, orange for expanding day
Inputs with guidance
Setup
• Signal length. Residual and regime window. Typical 40 to 100. Higher smooths, lower reacts faster
Micro Flow
• Micro TF. Lower timeframe used for micro flow, default 1 minute
• Micro span bars. Count of lower-TF bars. Typical 5 to 20
• Micro flow gate 0..1. Minimum absolute flow. Raising it demands stronger confirmation and reduces trade count
VWAP Bands
• VWAP stdev multiplier. Band width. Typical 0.8 to 1.6. Wider bands reduce breakout frequency and increase fade distance
• Expansion gate 0..3. Threshold to switch from fades to breakouts. Raising it favors fades, lowering it favors breakouts
Sessions
• Use session filter. Enable to trade only inside your window
• Trade window UTC. Default 07:00 to 17:00
Risk
• ATR length. Stop and target basis. Typical 10 to 21
• Stop ATR x. Initial stop distance in ATR multiples
• Target ATR x. Profit target distance in ATR multiples
• Cooldown bars after close. Wait bars before a new entry
• Side. Both, long only, or short only
View
• Show VWAP and bands
• Color bars by residual regime
Properties visible in this publication
• Initial capital 10000
• Base currency Default
• request.security uses lookahead off everywhere
• Strategy: Percent of equity with value 3. Pyramiding 0. Commission cash per order 0.0001 USD. Slippage 3 ticks. Process orders on close ON. Bar magnifier ON. Recalculate after order is filled OFF. Calc on every tick OFF. Using standard OHLC fills ON.
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes. Fills and slippage vary by venue. Shapes can move while a bar forms and settle on close. Strategies must run on standard candles for signals and orders.
Honest limitations and failure modes
High impact news, session opens, and thin liquidity can invalidate assumptions. Very quiet days can reduce contrast between residuals and price volatility. Session windows use the chart exchange time. If both stop and target are touched within a single bar, TradingView’s standard OHLC price-movement model decides the outcome.
Expect different behavior on illiquid pairs or during holidays. The model is sensitive to session definitions and feed time. Past results never guarantee future outcomes.
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
EVWMA VWAP MACD Strategy - HTF Trigger with SL & EMA ExitEVWMA VWAP MACD Strategy - HTF Trigger with SL & EMA Exit
EVWMA VWAP MACD Strategy - HTF Trigger with SL & EMA ExitRENEW TRY IT EVWMA VWAP MACD Strategy - HTF Trigger with SL & EMA Exit
Mario vr SIT MC Utilizar en el gráfico
4
1
55
🧠 Market Structure Pro System – MVR
Market Structure Pro System – MVR is an advanced trading strategy designed to detect key reversal and trend-break zones with high precision.
It combines multiple professional tools within a single algorithm — integrating market structure, dynamic channels, volatility filters, and trend confirmations — making it ideal for scalping and swing trading across different markets (Forex, indices, cryptocurrencies, or stocks).
⚙️ How it works
The algorithm performs a complete structural analysis of the market through several technical layers:
🔹 1. Price Structure (BOS, Supply & Demand)
The system automatically detects:
Order Blocks
Supply and Demand Zones
Break of Structure (BOS) to identify market structure shifts
This allows traders to recognize where price is likely to react or break a trend, anticipating major market movements.
🔹 2. Keltner Channels and Linear Regression
The strategy uses multiple Keltner Channels with different settings to measure volatility expansion and contraction.
In combination, a dynamic linear regression line shows the overall market direction, helping confirm whether price is trending or ranging.
🔹 3. Volatility and Trend Filters
It integrates several complementary systems:
ATR (Average True Range): measures the strength and volatility of price movement.
PSAR (Parabolic SAR): identifies potential trend reversals.
Supertrend: acts as the main trend filter and confirmation tool.
These filters work together to avoid false signals in ranging or low-volatility conditions.
🔹 4. Swing Highs / Lows and Dynamic Lines
The indicator also marks swing high and low points, helping visualize dynamic support and resistance levels and potential price reversal areas.
📈 Signal Interpretation
BUY signals:
Occur when price breaks a demand zone or bearish structure, while trend filters (Supertrend / PSAR) confirm bullish direction.
SELL signals:
Trigger when price breaks a supply zone or bullish structure, with bearish confirmation from the trend filters.
These conditions can be further validated by visual confirmations from the Keltner Channel or a color change in the linear regression.
Script protegido
Este script se publica como código cerrado. Sin embargo, puede utilizarlo libremente y sin limitaciones: obtenga más información aquí.
mariovr_usd
Exención de responsabilidad
La información y las publicaciones que ofrecemos, no implican ni constituyen un asesoramiento financiero, ni de inversión, trading o cualquier otro tipo de consejo o recomendación emitida o respaldada por TradingView. Puede obtener información adicional en las Condiciones de uso.
1 comentario
Bollinger Bands Breakout StrategyHey guys check out this strategy script.
Chart plotting:
I use a classic plot of Bollinger Bands to define a consolidation zone, I also use a separate Trend Filter (SMA).
Logic:
When the price is above the SMA and above the Bollinger Upper Band the strategy goes Long. When the price is below the SMA and below the Bollinger Lower Band the strategy goes Short. Simple.
Exits:
TP and SL are a percentage of the price.
Notes: This simple strategy can be used at any timeframe (I prefer the 15min for day trading). It avoids consolidation, when the price is inside the Bollinger Bands, and has a good success rate. Adjust the Length of the BB to suit your style of trading (Lower numbers=more volatile, Higher numbers=more restrictive). Also you can adjust the Trend Filter SMA, I presonally chose the 50 SMA. Finally the SL/TP can be also adjusted from the input menu.
Test it for yourself!
Have great trades!
CBC Flip StrategyThe CBC Flip Strategy is a momentum-based trading system that identifies shifts in market control by monitoring price closes relative to previous bars' highs and lows: it flips to bullish mode when the close exceeds the prior high (indicating bulls in control) and enters a long position, or to bearish mode when the close falls below the prior low (indicating bears in control) and enters a short position, all while incorporating optional confluences like higher timeframe CBC alignment, RSI thresholds (above 50 + offset for longs, below 50 - offset for shorts), and EMA positioning (above for longs, below for shorts) to filter entries; trades are restricted to a user-defined session window and direction preferences, with exits handled via tick-based TP/SL, reversal on chart or higher timeframe CBC flips, and an optional flatten at a specified time to close all positions.
Number of Contracts: Adjust the quantity of contracts per trade (default: 1).
SL and TP Ticks: Set stop-loss (default: 12 ticks) and take-profit (default: 24 ticks) distances from entry.
Exit Strategy: Choose from TP/SL in ticks, exit on chart CBC flip (reverses on opposite signal), or exit on higher timeframe CBC flip.
Flatten All: Enable/disable flattening all positions at a customizable time (default: 16:00, with adjustable hour/minute).
Trading Session: Define the time window for allowing entries (default: 0800-1700).
Trade Direction: Select "Both" (longs and shorts), "Only Long", "Only Short", or "Towards Daily Open" (longs if below daily open, shorts if above).
Higher Timeframe CBC Confluence: Toggle use of HTF CBC alignment (default: enabled, with customizable HTF like "240").
RSI Confluence: Toggle RSI filter (default: enabled, with adjustable length=14, offset=20 for thresholds).
EMA Confluence: Toggle EMA filter (default: enabled, with adjustable length=200 for position relative to price).
15-min ORB — NY 9:30 (SPX) 10232025This strategy trades the New York session opening range breakout (ORB) using a 15-minute window that starts at 9:30 AM New York time (6:30 AM PDT). It identifies the high and low formed during the first ORB period (default 15 minutes), then looks for breakouts above or below that range within the next 100 minutes of the session.
Zendog V3 Indicator DCAThis strategy is same as Zendog v3 but edited to be backtest compatible for SO additions through indicator
for Longs
Safety order type = External indicator
External indicator = RSI 30/70 : Long Trigger
Safety Order Value = 1
for Shorts
Safety order type = External indicator
External indicator = RSI 30/70 : Short Trigger
Safety Order Value = 2
Cava Signals Backtesting v2Cava Signals Backtesting Strategy v2 (BTC)
This Pine Script strategy is designed for backtesting trading signals on BTC, built upon the Cava Signals v2 framework. It integrates multiple technical indicators to identify potential buy and sell opportunities, incorporating volume analysis, momentum, and trend-following mechanisms. The strategy supports customizable parameters for trade entry, exit, take-profit, stop-loss, and DCA (Dollar-Cost Averaging) logic, optimized for BTC trading. Ideal for traders looking to test and refine their approach in a backtesting environment, this script offers flexibility to adapt to various market conditions while focusing on disciplined trade management. Always backtest thoroughly and validate performance before live use.






















